Data Engineer Lead

Guidehouse; Charlotte (NC); On-site; USD 92,000 - 153,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan

Parental Leave

Tuition Reimbursement

Job summary

Guidehouse is seeking a Data Engineer Lead to guide the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. You will act as the technical leader, provide architecture guidance, mentor engineers, and drive scalable, secure data solutions supporting mission-critical business and analytics needs.

You will lead the design and deployment of modern data platforms, define architecture standards, oversee ETL/ELT workflows, data

Qualifications

• 7+ years of data engineering or related technical disciplines.
• Experience leading technical teams and complex data engineering initiatives.
• Experience with AWS, Azure, or multi-cloud environments.
• Experience with Databricks, Snowflake, or similar platforms.
• Experience implementing CI/CD pipelines and DevOps practices.
• Experience with containerization and orchestration (Docker, Kubernetes).

Responsibilities

• Lead the design, development, and deployment of modern data platforms and analytics solutions across cloud and hybrid environments.
• Define technical architecture, standards, and best practices for data integration, storage, processing, and governance.
• Architect ETL/ELT workflows, data lakehouses, and enterprise data platforms.
• Mentor data engineers and drive engineering excellence and professional growth.
• Collaborate with architects, data scientists, analysts, and stakeholders on roadmaps.

Skills

Python

SQL

Spark/PySpark

Cloud platforms

CI/CD

Docker

Kubernetes

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Job description

Job Family

Data Science & Analysis

Travel Required

Up to 10%

Clearance Required

Ability to Obtain Public Trust

What You Will Do

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as the technical leader for data engineering initiatives, providing architecture guidance, mentoring engineering teams, and driving the implementation of scalable, secure, and high-performing data solutions that support mission-critical business and analytical needs.

• Lead the design, development, and deployment of modern data platforms, pipelines, and analytics solutions across cloud and hybrid environments.
• Define technical architecture, engineering standards, and best practices for data integration, storage, processing, and governance.
• Architect and oversee the implementation of scalable ETL/ELT workflows, data lakehouses, and enterprise data platforms.
• Lead data modernization and migration initiatives, including cloud adoption, platform transformation, and legacy system replacement efforts.
• Provide technical leadership and mentorship to data engineers, fostering engineering excellence and professional development.
• Collaborate with solution architects, data scientists, business analysts, and client stakeholders to define technical strategies and implementation roadmaps.
• Design and optimize data models, data warehouses, and large-scale analytical environments to support reporting, operational analytics, and advanced analytics use cases.
• Establish and enforce data quality, observability, security, reliability, and operational support processes.
• Lead the adoption of DevSecOps and CI/CD practices to automate deployments and improve platform reliability.
• Oversee performance tuning, troubleshooting, and optimization of data platforms and processing workloads.
• Conduct technical reviews, architecture assessments, and code reviews to ensure delivery quality and adherence to best practices.
• Support proposal development, solutioning, technical estimations, and business development activities.
• Serve as a trusted technical advisor to project leadership and client stakeholders.

Role is contingent upon contract award

What You Will Need

• U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
• SEVEN (7) or more years of experience in data engineering, software engineering, analytics engineering, or related technical disciplines.
• Experience leading technical teams and complex data engineering initiatives.
• Experience with Python, SQL, Spark/PySpark, and modern data engineering frameworks.
• Experience designing, developing, and optimizing large-scale data pipelines and ETL/ELT solutions.
• Experience architecting enterprise data platforms, data lakes, data warehouses, and cloud-native data solutions.
• Significant hands-on experience with AWS, Azure, or multi-cloud environments.
• Experience with Databricks, Snowflake, or similar distributed data processing platforms.
• Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.
• Experience with containerization and orchestration technologies, including Docker and Kubernetes.

What Would Be Nice To Have

• Experience supporting federal health, public health, healthcare, life sciences, or other highly regulated environments.
• Strong understanding of data governance, metadata management, data quality, and data security principles.
• Experience leading Agile development teams and collaborating across cross-functional technical organizations.
• Strong analytical, problem-solving, and architectural decision-making skills.
• Demonstrated ability to communicate technical concepts to both technical and non-technical audiences.
• Experience developing technical documentation, architecture artifacts, and engineering standards.
• Experience designing and implementing Databricks Lakehouse, Delta Lake, Fabric, Snowflake, or similar modern analytics architectures.
• Experience with event-driven and real-time data architectures using Kafka, Event Hub, Kinesis, or similar technologies.
• Experience implementing Infrastructure as Code using Terraform, CloudFormation, Bicep, or ARM templates.
• Experience with data observability and monitoring platforms such as Splunk, Datadog, CloudWatch, Kibana, or Elasticsearch.
• Experience supporting AI/ML platforms and operationalizing machine learning workflows.
• AWS, Azure, Databricks, Snowflake, or Kubernetes certifications.
• Experience leading large-scale data modernization or digital transformation programs.
• Previous consulting experience with responsibility for client-facing technical leadership.
• Experience contributing to business development activities, technical proposals, and solution architecture.

The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.